EcoService Models Library (ESML)
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EM: Hydrologic and water quality system (HAWQS) model v.1.1 user's guide methodology (EM-960)
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EM Identity and Description
EM Identification
EM ID
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EM-960 |
EM Short Name
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HAWQS model method |
EM Full Name
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Hydrologic and water quality system (HAWQS) model v.1.1 user's guide methodology |
EM Source or Collection
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US EPA |
EM Source Document ID
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445 |
Document Author
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United States Environmental Protection Agency |
Document Year
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2019 |
Document Title
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HAWQS 1.0 (Hydrologic and Water Quality System) modeling framework |
Document Status
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Peer reviewed and published |
Comments on Status
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Published EPA report |
Software and Access
https://dataverse.tdl.org/dataset.xhtml?persistentId=doi:10.18738/T8/GDOPBA | |
Contact Name
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Raghavan Srinivasan |
Contact Address
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Spatial Sciences Laboratory, Dept. of ecology and conservatin Biology, Texas A&M university |
Contact Email
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r-srinivasan@tamu.edu |
EM Description
Summary Description
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Author overview: " The Hydrologic and Water Quality System (HAWQS) is a web-based interactive water quantity and water quality modeling system that employs the internationally-recognized public domain model Soil and Water Assessment Tool (SWAT) as its core modeling engine. HAWQS provides users with: 1) interactive web interfaces and maps and pre-loaded input data; 2) Output data includes tables, charts, graphs, and raw data; 3) A user guide; and 4) Online development, execution, and storage for users modeling projects. HAWQS enables use of SWAT to simulate the effects of management practices based on an extensive array of crops, soils, natural vegetation types, land uses, and climate change scenarios for hydrology and the following water quality parameters: Sediment pathogens, nutrients, biological oxygen demand, dissolved oxygen, pesticides, and water temperature. HAWQS users can select from three watershed scales, or hydrologic unit codes (HUCs)—small (HUC 12), medium (HUC 10), and large (HUC 8)—to run simulations. HAWQS allows for further aggregation and scalability of annual, monthly, and daily estimates of water quality across large geographic areas up to and including the continental United States. The United States Environmental Protection Agency (USEPA) Office of Water (OW) supports and provides project management and funding for HAWQS. The Texas A&M University Spatial Sciences Laboratory and EPA subject matter experts provide ongoing technical support including system design, modeling, and software development. The United States Department of Agriculture (USDA) and Texas A&M University jointly developed SWAT and have actively supported the model for more than 25 years. The system was developed to meet the needs of the USEPA Office of Water. It can also be employed by other Federal Agencies, State and local governments, academics, and contractors. " |
Specific Policy or Decision Context Cited
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None identified |
Biophysical Context
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N/A |
EM Scenario Drivers
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N/A |
EM Relationship to Other EMs or Applications
Method Only, Application of Method or Model Run
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Method Only |
New or Pre-existing EM?
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New or revised model |
Related EMs (for example, other versions or derivations of this EM) described in ESML
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Document ID for related EM
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None |
EM ID for related EM
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None |
EM Modeling Approach
EM Relationship to Time
EM Temporal Extent
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Not applicable |
EM Time Dependence
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time-dependent |
EM Time Reference (Future/Past)
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future time |
EM Time Continuity
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discrete ?Comment:Time can be in day, month or year increments |
EM Temporal Grain Size Value
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1 |
EM Temporal Grain Size Unit
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Year |
EM Spatial Extent
Bounding Type
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Not applicable |
Spatial Extent Name
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Not applicable |
Spatial Extent Area (Magnitude)
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Not applicable |
Spatial Distribution of Computations
EM Spatial Distribution
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spatially lumped (in all cases) |
Spatial Grain Type
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Not applicable |
Spatial Grain Size
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Not applicable |
EM Structure and Computation Approach
EM Computational Approach
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Numeric |
EM Determinism
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deterministic |
Statistical Estimation of EM
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Model Checking Procedures Used
Model Calibration Reported?
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No |
Model Goodness of Fit Reported?
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No |
Goodness of Fit (metric| value | unit)
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None |
Model Operational Validation Reported?
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No |
Model Uncertainty Analysis Reported?
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No |
Model Sensitivity Analysis Reported?
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No |
Model Sensitivity Analysis Include Interactions?
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Not applicable |
EM Locations, Environments, Ecology
Location of EM Application
Terrestrial location (Classification hierarchy: Continent > Country > U.S. State [United States only])
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Marine location (Classification hierarchy: Realm > Region > Province > Ecoregion)
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None |
Centroid Lat/Long (Decimal Degree)
Centroid Latitude
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Not applicable |
Centroid Longitude
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Not applicable |
Centroid Datum
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Not applicable |
Centroid Coordinates Status
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Not applicable |
Environments and Scales Modeled
EM Environmental Sub-Class
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Agroecosystems |
Specific Environment Type
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HUCs |
EM Ecological Scale
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Ecological scale is finer than that of the Environmental Sub-class |
Scale and taxa of organisms modeled
Scale of differentiation of organisms modeled
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EM Organismal Scale
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Not applicable |
Taxonomic level and name of organisms or groups identified
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None Available |
EnviroAtlas URL
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EM Ecosystem Goods and Services (EGS) potentially modeled, by classification system
CICES v 4.3 - Common International Classification of Ecosystem Services (Section > Division > Group > Class)
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(Environmental Subclass > Ecological End-Product (EEP) > EEP Subclass > EEP Modifier)
fegs2Help
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None |
EM Variable Names (and Units)
Predictor
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Intermediate
Intermediate (Computed) Variables (and Units)
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None |
Response
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